Fighting Fraud with Artificial Intelligence

Fighting Fraud with Artificial Intelligence

AI is in the news these days with promises of a scifi future, but how do we get from here to there? What are the near-term capabilities and challenges in the field and what skills are required to solve them? I’ll explain how I use AI and machine learning techniques honed building self-driving cars, bomb disposal robots, and VR/AR visualizations to fight the real-world problem of eCommerce fraud. In addition, I’ll offer my thoughts on how to enter the field that has not been producing sufficient quality practitioners despite high employer demand.

Bio:

Josh Johnston is a scientist who fights fraud with Artificial Intelligence by exploiting information, making automated decisions, and focusing human agents on relevant data. He’s led research teams building autonomous and remotely operated robots for DARPA, NASA, and Army, Air Force, and Navy labs. His past programs include taking a team to the semi-finals of the DARPA Urban Challenge self-driving vehicle competition, developing autonomy and visualization for explosive ordnance disposal robots, designing the electro-optical/infrared sensor solution for the Sea Hunter unmanned anti-submarine warfare vessel, and creating scientific visualizations in Virtual Reality and Augmented Reality (VR/AR). Mr. Johnston earned a Master of Science in Robotics from Carnegie Mellon University in 2006 and a Bachelor of Science in Electrical Engineering and Mechanical Engineering from Duke University in 2005.